NJCV Lab
Machine Vision & Automation — From Concept to Production
New Jersey, USA
US-Based Engineering
Semiconductor Focus
20+ Production Systems
English
New Jersey Computer Vision Lab, LLC is a research-driven computer vision laboratory. We build custom machine vision and AI inspection systems end-to-end — from feasibility study and algorithm development to mechanical design, fabrication, and on-site commissioning. One accountable team owns the entire stack.
Our integrated engineering team delivers full-stack development under one roof: mechanical and electrical design, firmware, host software, vision algorithms, and deployment. That structure means faster iteration, tighter integration, and a single point of accountability for your project.
Our focus: Applying computer vision and artificial intelligence to industrial inspection. The majority of our work serves the semiconductor industry, with additional projects in optical communication, rare-earth magnetics, consumer electronics, and food & beverage.
Four service tiers that take your project from concept to production — enter at any level, depending on how far along you are.
Before you invest in a full system, we prove — with a physical test rig, real images, and a conclusive report — that your defects can be seen optically. You ship samples, we build the setup, shoot, and iterate. Go/No-Go report in 2–6 weeks.
Get started →From lab model to production inference engine. We train, validate, quantize, and deploy deep learning models (YOLO, UNet, ResNet, ViT) on your edge hardware — Jetson, x86 IPC, or Docker. Not a Jupyter demo. A deployable pipeline.
Get started →You have the vision algorithm. We build the physical machine around it. Mechanical design (SolidWorks), electrical schematics, enclosures, and (Premium tier) in-house fabrication and assembly — CNC, sheet metal, wiring, assembly. No algorithms included.
Get started →You describe the problem, we ship the machine. Mechanical + electrical + firmware + software + vision + AI — all by one engineer backed by a full R&D team. FAT, SAT, operator training, and bilingual documentation included. 12–26 weeks from contract to commissioning.
Get started →High-precision automated die counting for wafer frames and uncut wafers. AI-based computer vision with industry-leading accuracy: sub-pixel counting, multi-size wafer support, real-time dashboard.
High-speed optical inspection for LED chips. Micron-level defect detection in real-time at production speed with automatic rejection. 100% detection rate in live testing; designed for 10-year maintenance-free operation.
3D scanning and AI-based defect inspection for bare PCBs and assembled boards. Structured-light reconstruction + deep learning for solder defects, trace breaks, and misalignment.
Automated inspection and sorting line for rare-earth permanent magnets. Multi-face capture, L×W×H measurement, surface defect detection, and automatic bin sorting — single pass at production speed.
Multi-angle inspection system for optical communication packaging. Comprehensive dimensional measurement, multi-type defect detection, and automatic sorting.
Built on a procured wheel-legged quadrupedal robot, this secondary-development platform integrates autonomous inspection and security capabilities into a field-deployable mobile unit. The hybrid wheel-leg locomotion enables rolling at 2+ m/s on flat ground and switching to walking gait for stair climbing, obstacle negotiation, and light jumps in rough terrain.
Our value-add is the full-stack inspection software and sensor payload: autonomous patrol route planning, scheduled inspection missions, and task-specific inspection modules. Currently production-ready capabilities include instrument panel reading, license plate recognition, and non-compliant personnel behavior detection. Beyond routine patrol, the platform reaches environments unsuitable for human workers — pipeline interiors, sewer tunnels, and toxic or hazardous zones — making it a force-multiplier for inspection teams in high-risk infrastructure.
Status: Core patrol-inspection workflow production-complete — timed autonomous patrol, waypoint-based routing, and key event logging operational in designated areas. Pipeline: expanded inspection item catalog, multi-sensor fusion (thermal, gas detection), and broader environment adaptation.
Retrofitted a high-speed food production line with real-time code-printing verification. Single-camera solution in a harsh, space-constrained environment. Real-time alarm on missing or misprinted codes.
Multi-robot vision-guided picking on a high-speed bottling line. Dynamic bottle tracking on moving conveyor, coordinated multi-arm picking under harsh production conditions.
An end-to-end automated microscopy system for gynecological sample analysis. Hospital-collected specimens are diluted and loaded into multi-row racks; the instrument then pipettes each sample, applies staining reagents, and deposits it onto a glass slide. Slides are automatically transported under a microscope where the system performs multi-region scanning with auto-focus, captures overlapping high-magnification frames per region, and runs deep-learning cell classification and counting — epithelial cells, leukocytes, clue cells, trichomonas, and fungal elements. A structured diagnostic report is generated automatically, and processed slides are sorted into a return cartridge. Fully hands-free from sample load to final report.
| Role | Function |
|---|---|
| Structural Engineer | SolidWorks / AutoCAD mechanical design |
| Electrical Engineer | PCB design, wiring, power systems |
| Firmware Engineer | PLC, motor control, Modbus, CAN, I2C |
| Software Engineer | C++, Qt, C# WPF, Python, MySQL |
| Algorithm Engineer | Computer vision, deep learning |
| Project Manager | Requirements capture, milestones, client communication |
Result: A full-stack R&D capability at a fraction of US cost, with a single point of accountability.
Founder, New Jersey Computer Vision Lab, LLC · U.S. Citizen
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